Sampled-data synchronization for heterogeneous delays inertial neural networks with generally uncertain semi-Markovian jumping and its application

Wang, Junyi; He, Wenyuan; Xu, Hongli; Cai, Haibin; Chen, Xiangyong

doi:10.1007/s00521-024-10192-4

Neural Comput & Applic

2024

DOI: 10.1007/s00521-024-10192-4

|View full text |Cite

Sampled-data synchronization for heterogeneous delays inertial neural networks with generally uncertain semi-Markovian jumping and its application

Junyi Wang,

Wenyuan He,

Hongli Xu

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Robust dissipativity analysis for stochastic Markov jump competitive neural networks with mixed delays

Subhashri,

Radhika

2024

J. Appl. Math. Comput.

View full text Add to dashboard Cite

Robust dissipativity analysis for stochastic Markov jump competitive neural networks with mixed delays

Subhashri,

Radhika

2024

J. Appl. Math. Comput.

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Sampled-data synchronization for heterogeneous delays inertial neural networks with generally uncertain semi-Markovian jumping and its application

Cited by 1 publication

References 49 publications

Robust dissipativity analysis for stochastic Markov jump competitive neural networks with mixed delays

Robust dissipativity analysis for stochastic Markov jump competitive neural networks with mixed delays

Contact Info

Product

Resources

About